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作者： Granville, Lisandro Zambenedetti Gaspary, Luciano Paschoal Schulze, Bruno De Souza, José Neuman Brazil Special Interest Group on Computer Networks and Distributed Systems Brazilian Computer Society Brazil Brazilian Laboratory on Computer Networks Brazil IFIP/IEEE im Brazil Graduate Program on Applied Computing Universidade do Vale do Rio dos Sinos Brazil IEEE Communications Society Japan National Lab. for Scientific Computing - LNCC Brazil Brazilian National Research Council CNPq Brazil ACM Brazil IEEE Brazil Brazilian Computing Society Brazil Federal University of Ceará Brazil

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Real-time organ motion tracking and fast image registration system for MRI-guided surgery

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systems and Computers in Japan 2006年第1期37卷 83-92页

作者： Tokuda, Junichi Hirano, Masaya Tsukamoto, Tetsuji Dohi, Takeyoshi Hata, Nobuhiko Graduate School of Information Science and Technology University of Tokyo Tokyo 113-8656 Japan GE Yokogawa Medical Systems Ltd. Hino 191-8503 Japan International Society for Computer-Aided Surgery Japan Society for Computer-Aided Surgery Japan Society for Magnetic Resonance in Medicine GE Yokogawa Medical Systems Ltd. Imaging Application Tech. Center MR Group R and D Laboratory Technology Center GE Yokogawa Medical Systems Ltd. Society for Magnetic Resonance in Medicine Graduate School of Information Science and Technology Society for Life Support Technology Japan Society for Organ Preservation Biology and Medicine Society for Precision Engineering Society for Medical Image Computing and Computer Assisted Intervention International Union for Physics and Engineering Sciences in Medicine JSMEBE Japan Society for Life Assistance Technology Brigham and Women's Hospital Harvard Medical School MR Therapy Program

The advantage of magnetic resonance imaging (MRI)-guided surgery, in which MR images taken during surgery are used to guide the surgery, has been recognized recently. However, there is a problem, due to long imaging time of MRI, that it is difficult to capture the respiratory organ motion. It is often a constraint that the patient must hold his or her breath, especially in the treatment of the abdominal region. Consequently, this paper proposes a method of eliminating this constraint in MRI-guided surgery by real-time monitoring of the movement of the organ involved in the surgery by means of the signal derived from MRI. Specifically, the navigator echo is extracted in imaging during surgery. The movement of the organ involved in surgery is detected on the basis of the change in the calculated projection profile, and the results are presented to the surgeon. In this study, the procedure is built into a 1.5-T clinical MRI system. The feasibility of the proposed system was examined under clinical conditions by evaluating its accuracy and delay in a phantom experiment, and also in an in vivo experiment on the liver of a volunteer. The results are reported in this paper. © 2005 Wiley Periodicals, Inc.

关键词： Motion estimation

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Journal of Information Science and Engineering: Editorial notice

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Journal of Information Science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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Doe's effort to reduce truck aerodynamic drag - joint experiments and computations lead to smart design

Doe's effort to reduce truck aerodynamic drag - joint experi...

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34th AIAA Fluid Dynamics Conference and Exhibit 2004

作者： McCallen, Rose C. Salari, Kambiz Ortega, Jason M. DeChant, Larry J. Hassan, Basil Roy, Christopher J. Pointer, W. David Browand, Fred Hammache, Mustapha Hsu, Tsun-Ya Leonard, Anthony Rubel, Mike Chatalain, Philippe Englar, Robert Ross, James Satran, D. Heineck, James T. Walker, Stephen Yaste, D. Storms, B. Lawrence Livermore National Laboratory Livermore CA 94551 United States Sandia National Laboratories Albuquerque NM 87185-0825 United States Auburn University Auburn AL 36849 United States Argonne National Laboratory Argonne IL 60439 United States University of Southern California LosAngeles CA 90089-1191 United States Georgia Tech Research Institute Atlanta GA 30332 United States NASA Ames Research Center Moffet Field CA 94035 United States Center for Applied Scientific Computing P.O. Box 808 L-98 United States New Technologies Engineering Division P.O. Box 808 L-644 United States Aerosciences and Compressible Fluid Mechanics Dept. PO Box 5800 MS 0825 United States Aerospace Engineering Dept. 211 Aerospace Engineering Bldg United States Nuclear Engineering Division NE-208 United States Aerospace and Mechanical Engineering MS 1191 United States Engineering and Applied Science 1200 East California Blvd. MC 301-46 United States Graduate Aeronautical Laboratories 1200 East California Blvd. MC 205-45 United States Aerospace Transportation and Advanced Systems Code 0844 United States Systems Analysis Branch MS 260-1 United States Aeronautical Projects and Program Office MS 260-1 United States

ISBN: (纸本)9781624100314

At 70 miles per hour, overcoming aerodynamic drag represents about 65% of the total energy expenditure for a typical heavy truck vehicle. The goal of this US Department of Energy supported consortium is to establish a clear understanding of the drag producing flow phenomena. This is being accomplished through joint experiments and computations, leading to the 'smart' design of drag reducing devices. This paper will describe our objective and approach, provide an overview of our efforts and accomplishments, and discuss our future direction. © 2004 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Aerodynamic drag

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